| import ffmpeg | |
| import numpy as np | |
| def load_audio(file, sr): | |
| try: | |
| # https://github.com/openai/whisper/blob/main/whisper/audio.py#L26 | |
| # This launches a subprocess to decode audio while down-mixing and resampling as necessary. | |
| # Requires the ffmpeg CLI and `ffmpeg-python` package to be installed. | |
| file = ( | |
| file.strip(" ").strip('"').strip("\n").strip('"').strip(" ") | |
| ) # To prevent beginners from copying paths with leading or trailing spaces, quotation marks, and line breaks. | |
| out, _ = ( | |
| ffmpeg.input(file, threads=0) | |
| .output("-", format="f32le", acodec="pcm_f32le", ac=1, ar=sr) | |
| .run(cmd=["ffmpeg", "-nostdin"], capture_stdout=True, capture_stderr=True) | |
| ) | |
| except Exception as e: | |
| raise RuntimeError(f"Failed to load audio: {e}") | |
| return np.frombuffer(out, np.float32).flatten() | |